Longitudinal association of actigraphy-assessed sleep with physical growth in the first 6 months of life

SLEEP ◽  
2021 ◽  
Author(s):  
Xiaoyu Li ◽  
Sebastien Haneuse ◽  
Michael Rueschman ◽  
Emily R Kaplan ◽  
Xinting Yu ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Specific Weight ◽  
Estimating Equation ◽  
Physical Growth ◽  
Term Infants ◽  
Rapid Changes ◽  
Wake Patterns ◽  
Longitudinal Association ◽  
Nighttime Sleep

Abstract Study Objectives Suboptimal sleep is associated with obesity and its sequelae in children and adults. However, few studies have examined the association between sleep and physical growth in infants who experience rapid changes in sleep/wake patterns. We examined the longitudinal association of changes in objectively assessed sleep/wake patterns with changes in growth between ages 1 and 6 months. Methods We studied 298 full-term infants in the longitudinal Rise & SHINE cohort study. Changes from 1 and 6 months in nighttime sleep duration, wake after sleep onset (WASO), and number of waking bouts ≥5 min were assessed using ankle actigraphy. Overweight was defined as age- and sex-specific weight for length ≥95th percentile. Generalized estimating equation analyses adjusted for infants′ and mothers′ characteristics. Results The mean (SD) birth weight was 3.4 (0.4) kg; 48.7% were boys. In multivariable adjusted models, each 1-h increase in nighttime sleep duration between months 1 and 6 was associated with a 26% decrease in the odds of overweight from 1 to 6 months (odds ratio [OR] = 0.74; 95% confidence interval [CI, 0.56, 0.98]). Each 1-unit decrease in number of waking bouts was associated with a 16% decrease in the odds of overweight (OR = 0.84; 95% CI [0.72, 0.98]). Changes in WASO were not associated with the odds of overweight. Conclusions Greater increases in nighttime sleep duration and more consolidation of nighttime sleep were associated with lower odds of overweight from 1 to 6 months. Adverse sleep patterns as early as infancy may contribute to excess adiposity.

scholarly journals 0318 Prospective Association of Actigraphy-Assessed Sleep with Physical Growth in the First 6 Months of Life

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A121-A121
Author(s):  
X Li ◽  
M Rueschman ◽  
E R Kaplan ◽  
X Yu ◽  
K Davison ◽  
...  
Keyword(s):  
Weight Gain ◽  
Sleep Duration ◽  
Sleep Fragmentation ◽  
Physical Growth ◽  
Birth Cohort Study ◽  
Older Children ◽  
Sleep Patterns ◽  
Rapid Weight Gain ◽  
Term Infants ◽  
Nighttime Sleep

Abstract Introduction Suboptimal sleep is associated with weight gain and related chronic diseases in adults, adolescents, and older children. However, little is known regarding the associations between sleep and physical growth in infants. We investigated prospectively the associations between objectively-measured sleep patterns at 1 month and physical growth in the first 6 months of life. Methods We studied 344 full term infants in the ongoing longitudinal Rise & SHINE (Sleep Health in Infancy & Early Childhood) birth cohort study. At 1 month, infants underwent 7-day ankle actigraphy, estimating average sleep duration (24-hour, nighttime, and daytime) and sleep fragmentation (number of nighttime awakenings). Weight and length were measured at birth and 6 months and used to calculate weight-for-length z (WFL-z) scores. We used linear and logistic regression analyses to examine the associations between sleep patterns at 1 month with WLF-z at 6 months and rapid weight gain from birth to 6 months, defined as an increase in WFL-z greater than or equal to 0.67, controlling for covariates. Results Each 1-hour increase in 24-hour sleep duration was associated with a 0.07-unit (95% CI [0.01, 0.12]) increase in WFL-z at 6 months. Daytime, but not nighttime, sleep duration was positively associated with WFL-z. Greater number of nighttime awakenings was associated with higher WFL-z (beta = 0.28; 95% CI [0.08, 0.49]). 24-hour and nighttime sleep duration were positively associated with a 18.5% (95% CI [1.04, 1.35]) and a 23.4% (95% CI [1.02, 1.49]) higher odds of rapid weight gain from birth to 6 months, respectively. Conclusion Longer 24-hour sleep duration was associated with higher 6-month WFL-z and more rapid increases in WFL-z from birth to 6 months. Greater nighttime sleep fragmentation was associated with higher 6-month WFL-z. Sleep at 1 month might provide modifiable targets to help avoid lifetime complications of excess weight. Support R01DK107972.

Time for bed! Earlier sleep onset is associated with longer nighttime sleep duration during infancy

2020 ◽  
Vol 73 ◽  
pp. 238-245
Author(s):  
Elizabeth L. Adams ◽  
Jennifer S. Savage ◽  
Lindsay Master ◽  
Orfeu M. Buxton
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Nighttime Sleep

scholarly journals Associations between parent-reported and objectively measured sleep duration and timing in infants at age 6 months

SLEEP ◽  
2020 ◽  
Author(s):  
Mirja Quante ◽  
Benjamin Hong ◽  
Tayla von Ash ◽  
Xinting Yu ◽  
Emily R Kaplan ◽  
...  
Keyword(s):  
Sleep Duration ◽  
Low Income ◽  
Sleep Onset ◽  
Sleep Diary ◽  
Study Cohort ◽  
Linear Regression Models ◽  
Night Sleep ◽  
Low Income Families ◽  
Objectively Measured ◽  
Nighttime Sleep

Abstract Study Objectives To compare the estimates of sleep duration and timing from survey, diary, and actigraphy in infants at age 6 months, overall and by select demographics and other factors. Methods In total, 314 infants participating in the Rise & SHINE (Sleep Health in Infancy & Early Childhood study) cohort in Boston, MA, USA, wore an actigraph on their left ankle for 7 days. Parents concurrently completed a sleep diary and the expanded version of the Brief Infant Sleep Questionnaire. Concordance between parent-reported and objective sleep estimates was assessed using Bland–Altman plots, Spearman’s rank correlations, intraclass correlations, and linear regression models. Results Mean infant age was 6.4 (0.6 SD) months; 51% were female and 42% were Non-Hispanic white. Mean total sleep duration using actigraphy was 526 (67 SD) minutes per night, 143 (42 SD) minutes per day, and 460 (100 SD) minutes during the longest nighttime sleep period. Relative to actigraphy, parent-completed survey and diary overestimated total day (by 29 and 31 minutes, respectively) and night sleep duration (67 and 43 minutes, respectively) and underestimated the longest sleep (58 minutes), with the highest agreement for sleep onset and offset timing (differences < 30 minutes). There was a tendency toward greater bias among short- and long-sleeping infants. Self-reporting bias for diary-measured longest nighttime sleep and total night sleep duration was higher in infants of parents reporting a problem with their baby’s night awakenings and in low-income families, respectively. Conclusions Our findings underscore the need to be cautious when comparing findings across studies using different sleep assessment methods.

626 Association between Co-Sleep and Behavioral Problems among Preschoolers in Taiwan

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A245-A246
Author(s):  
Yu-Ting Wu ◽  
Ya-Chuan Huang ◽  
Yung-Sen Chang ◽  
Chien-Ming Yang
Keyword(s):  
Sleep Duration ◽  
Behavioral Problems ◽  
Sleep Problems ◽  
Sleep Onset ◽  
Emotional And Behavioral Problems ◽  
Sleep Habits ◽  
Developmental Problems ◽  
Bed Sharing ◽  
Nighttime Sleep ◽  
Children’S Sleep

Abstract Introduction ‘Co-sleep’ is defined as the sleep arrangements in which parents and their child sharing a sleeping surface (bed-sharing or room-sharing). Similar to the other Asian countries, Taiwan has a high reported rates of bed-sharing. Previous researches had shown shorter sleep duration and poorer sleep quality in children with co-sleep. However, the association between co-sleep and the children’s emotional and behavioral problems has not been well studied. This study aims to explore the association between sleeping arrangements and children’s sleep, as well as their daytime emotional and behavioral problems. Methods 9,582 caregivers of preschoolers (age= 4.70±0.806; Male: Female=52%:48%) completed a questionnaire regarding their children’s sleep schedule, the Children’s Sleep Habits Questionnaire (CSHQ) and Strength and Difficulties Questions (SDQ). The reported frequency on the items of the CHSQ question regarding co-sleep, asking whether the child falls asleep in parent’s or sibling’ s bed or sleep alone, were used to divide the children into three groups: usually co-sleep group, sometimes co-sleep group and sleep-alone group. Results Among 2,967 preschoolers, 6,272 children (65.5%) reported usually co-sleep, 816 children (8.5%) reported sometimes co-sleep, and 2,494 children (26%) reported sleeping alone. One-way ANOVAs showed significant differences among three groups in: 1) sleep patterns, including weekday nighttime sleep duration (F=24.43, p<.01), weekend nighttime sleep duration (F=3.13, p<.05), weekday nap duration (F=4.24, p<.05), and weekend nap time (F=4.39, p<.05); 2) sleep problems on the CHSQ, including bed time resistance (F=7027.25, p<.01), sleep onset delay (F=33.06, p<.01), sleep duration (F=65.51, p<.01), sleep anxiety (F=788.48, p<.01), night waking (F=37.90, p<.01), parasomnias (F=47.43, p<.01), sleep disorder breathing (F=7.58, p<.01), and sleepiness (F=13.44, p<.01); 3) behavioral problems and development on the SDQ, including hyperactivity (F=21.16, p<.01), emotional symptom (F=23.08, p<.01), conduct problem (F=8.65, p<.01), peer problems (F=20.59, p<.01), and prosocial (F=17.67, p<.01). Conclusion Our results indicate that children with more frequent co-sleep may have shorter sleep duration, more sleep problems as well as more external and internal behavioral problems, while sleep-alone children showed more prosocial behaviors, longer sleep duration, and less sleep problems. The potential developmental problems related to co-sleep may be underestimated in Asian culture and need more attentions. Support (if any):

scholarly journals Associations between migraine attacks and nightly sleep characteristics among adults with episodic migraine: a prospective cohort study

SLEEP ◽  
2020 ◽  
Vol 43 (7) ◽  
Author(s):  
Angeliki Vgontzas ◽  
Wenyuan Li ◽  
Elizabeth Mostofsky ◽  
Michael Rueschman ◽  
Murray A Mittleman ◽  
...  
Keyword(s):  
Cohort Study ◽  
Sleep Quality ◽  
Sleep Duration ◽  
Mixed Models ◽  
Sleep Onset ◽  
Episodic Migraine ◽  
Sleep Efficiency ◽  
Migraine Headaches ◽  
Subject Specific ◽  
Nighttime Sleep

Abstract Study Objectives Given the unknown immediate impact of migraine on nighttime sleep, we prospectively examined whether migraine headaches were associated with subsequent shorter sleep duration, higher fragmentation, and poorer quality in a cohort of 98 adults with episodic migraine. Methods Participants completed twice-daily electronic diaries and wore actigraphs continuously for 6 weeks. We examined whether days with headaches were associated with changes in that night’s sleep characteristics compared with headache-free days, using adjusted multivariable linear mixed models with subject-specific intercepts. Results Participants were 35 ± 12 years old, 88% women, with an average of five migraine headaches per month. Over 4,406 days, we observed 1,077 headache days, representing 823 discrete headaches. Average nightly objective sleep duration was 7.3 ± 1.2 hr, efficiency 89.5 ± 3.3%, and wake after sleep onset (WASO) 44.8 ± 17.0 min. Objective sleep duration was 7.3 min (95% CI: 1.5, 13.0) longer on nights following a headache day compared with nights on a headache-free day. Objective sleep efficiency, WASO, and reported sleep quality were not significantly different on headache days compared with headache-free days (sleep efficiency: −0.06 min, 95% CI: −0.3, 0.2; WASO 1.5 min, 95% CI: 0.0, 3.0; sleep quality: 1.0, 95% CI: 0.8, 1.3). Conclusions Sleep periods immediately following migraine headaches are not associated with shorter duration, higher disruption, or poorer sleep quality in patients with episodic migraine. These results suggest that clinical evaluation of sleep disturbance in patients with episodic migraine should be approached independently of their migraine status.

scholarly journals Is It Time We Stop Discouraging Evening Physical Activity? New Real-World Evidence From 150,000 Nights

2021 ◽  
Vol 9 ◽  
Author(s):  
Michal Kahn ◽  
Topi Korhonen ◽  
Leena Leinonen ◽  
Kaisu Martinmaki ◽  
Liisa Kuula ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Real World ◽  
Sleep Onset ◽  
Sleep Timing ◽  
Real World Evidence ◽  
The Hours ◽  
Meta Analyses ◽  
Objectively Measured ◽  
Nighttime Sleep

Professional and colloquial sleep hygiene guidelines advise against evening physical activity, despite meta-analyses of laboratory studies concluding that evening exercise does not impair sleep. This study is the first to investigate the association between objectively measured evening physical activity and sleep within a real-world big-data sample. A total of 153,154 nights from 12,638 individuals aged 18–60 years (M = 40.1 SD = 10.1; 44.5% female) were analyzed. Nighttime sleep and minutes of physical activity were assessed using Polar wearable devices for 14 consecutive days. Thirty minutes or more of moderate-to-near maximal physical activity during the 3 h before sleep onset were recorded in 12.4% of evenings, and were more frequent on weekdays than weekends (13.3 vs. 10.2% respectively, p < 0.001). Linear mixed modeling revealed that sleep efficiency was not significantly associated with evening physical activity, and that sleep duration was 3.4 min longer on average on nights following evenings in which participants engaged in 30 min or more of moderate-intense physical activity. Effects were found for sleep timing metrics, as evening physical activity was linked with earlier sleep onset and offset times (−13.7 and −9.3 min, respectively). Overall, these effects were greater– but still very small– on weekdays compared to weekends. The present study provides further evidence for the lack of meaningful links between sleep duration or quality and physical activity in the hours preceding sleep. Taken together with recent meta-analytic findings, these findings suggest that changes in public health recommendations are warranted regarding evening physical activity and its relation to sleep.

scholarly journals 0222 The Association of Habitual Physical Activity with 24-Hour Sleep Outcomes in Preschoolers

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A86-A86
Author(s):  
C W St Laurent ◽  
R Spencer
Keyword(s):  
Physical Activity ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Cross Sectional Study ◽  
Sleep Efficiency ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Sleep Behavior ◽  
Percent Time ◽  
Nighttime Sleep

Abstract Introduction Sedentary behavior, physical activity (PA), and sleep are health behaviors that contribute significantly to overall and early childhood health. Although interactive relationships of these behaviors have been reported in adults and school-aged children, there is limited evidence that PA is associated with sleep using objective measures in younger children and findings have been mixed. The purpose of this study was to determine if objectively measured PA and sleep behavior outcomes are associated in preschoolers. Methods Participants (n=77, age: 4.34±177;0.91 years; 55.8% female) were included in this cross-sectional study. Actiwatch Spectrum monitors (wrist-worn, triaxial accelerometers) were worn 24-hours for 16-days to measure PA (total PA counts, sedentary time [ST], light PA, and moderate-to-vigorous PA [MVPA]) and sleep (24-hour, nighttime, and nap sleep duration, bedtime, wake after sleep onset [WASO], and sleep efficiency). Results Multiple linear regression models adjusted for age and wear time during wake periods indicated that greater MVPA was associated with less nighttime sleep duration (β=-3.48, p<0.001), less total 24-hour sleep duration (β=-3.38, p<0.001), and a later bedtime (β=0.07, p<0.001). Total PA counts were associated with less nighttime sleep duration (β=-0.0002, p=0.001), less total 24-hour sleep duration (β=-0.0002, p=0.001), and a later bedtime (β=4.83, p=0.001). Greater ST was associated with greater total 24-hour sleep duration (β=1.92, p=0.006) and an earlier bedtime (β=-0.36, p=0.02). Percent time spent in light PA was not associated with any sleep outcomes and no PA variables were associated with nap sleep duration, WASO, or sleep efficiency. Conclusion As these findings are in contrast to previous studies reporting null or beneficial associations, further analyses are warranted to examine potential mediators/effect modifiers (e.g., sleep timing, gender, body mass index, and socioeconomic status) and temporal relationships between these movement behaviors in young children. Support NIH R01 HL111695

scholarly journals The Monday Effect Revisited: A Diary and Sleep Actigraphy Study

2020 ◽  
Vol 4 (2) ◽  
pp. 167-176
Author(s):  
Achim Elfering ◽  
Christin Gerhardt ◽  
Diana Pereira ◽  
Anna Schenker ◽  
Maria U. Kottwitz
Keyword(s):  
Sleep Duration ◽  
Sleep Onset ◽  
Monday Morning ◽  
Sleep Onset Latency ◽  
Onset Latency ◽  
Social Stressors ◽  
Monday Effect ◽  
Work Related ◽  
Cognitive Failure ◽  
Delayed Sleep

Abstract Purpose Accidents are more likely to occur during the morning hours of Mondays (Monday effect). This might be due to a higher level of cognitive failure on Monday morning at work. Methods In a pilot actigraphy study across one working week, we explored this Monday effect and regressed daily self-reported workplace cognitive failure on weekdays (Monday versus other days), background social stressors at work, delayed sleep onset and sleep duration. Diary data were gathered from 40 full-time employees. Results Confirming our assumptions, results revealed work-related cognitive failure and sleep-onset latency on the previous night to be higher on Mondays compared to other workdays. Work-related cognitive failure correlated positively with delayed sleep-onset latency and background social stressors. In multilevel regression analysis, Monday significantly explained variations in workplace cognitive failure. The addition of background social stressors at work and sleep-onset latency to the regression model showed unique contributions to the prediction of workplace cognitive failure. No significant two-way or three-way interactions between working days, sleep-onset latency or sleep duration, and background social stressors were found. Conclusion Peak levels of cognitive failure on Monday morning and the association of cognitive failure with social stressors at work contribute to understanding the mechanisms involved in the increased prevalence of occupational accidents on Monday morning. Occupational safety interventions should address both social stressors at work and individual sleep hygiene.

scholarly journals 193 Sleep Variability and Affect Dynamics Among College Students during COVID-19 Pandemic

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A78-A78
Author(s):  
Zahra Mousavi ◽  
Jocelyn Lai ◽  
Asal Yunusova ◽  
Alexander Rivera ◽  
Sirui Hu ◽  
...  
Keyword(s):  
Emerging Adults ◽  
Sleep Duration ◽  
Sleep Onset ◽  
Positive And Negative Affect ◽  
Sleep Onset Latency ◽  
Deep Sleep ◽  
Onset Latency ◽  
Sleep Patterns ◽  
Light Sleep ◽  
Affect Dynamics

Abstract Introduction Sleep disturbance is a transdiagnostic risk factor that is so prevalent among emerging adults it is considered to be a public health epidemic. For emerging adults, who are already at greater risk for psychopathology, the COVID-19 pandemic has disrupted daily routines, potentially changing sleep patterns and heightening risk factors for the emergence of affective dysregulation, and consequently mood-related disturbances. This study aimed to determine whether variability in sleep patterns across a 3-month period was associated with next-day positive and negative affect, and affective dynamics, proximal affective predictors of depressive symptoms among young adults during the pandemic. Methods College student participants (N=20, 65% female, Mage=19.80, SDage=1.0) wore non-invasive wearable devices (the Oura ring https://ouraring.com/) continuously for a period of 3-months, measuring sleep onset latency, sleep efficiency, total sleep, and time spent in different stages of sleep (light, deep and rapid eye movement). Participants reported daily PA and NA using the Positive and Negative Affect Schedule on a 0-100 scale to report on their affective state. Results Multilevel models specifying a within-subject process of the relation between sleep and affect revealed that participants with higher sleep onset latency (b= -2.98, p<.01) and sleep duration on the prior day (b= -.35, p=.01) had lower PA the next day. Participants with longer light sleep duration had lower PA (b= -.28, p=.02), whereas participants with longer deep sleep duration had higher PA (b= .36, p=.02) the next day. On days with higher total sleep, participants experienced lower NA compared to their own average (b= -.01, p=.04). Follow-up exploratory bivariate correlations revealed significant associations between light sleep duration instability and higher instability in both PA and NA, whereas higher deep sleep duration was linked with lower instability in both PA and NA (all ps< .05). In the full-length paper these analyses will be probed using linear regressions controlling for relevant covariates (main effects of sleep, sex/age/ethnicity). Conclusion Sleep, an important transdiagnostic health outcome, may contribute to next-day PA and NA. Sleep patterns predict affect dynamics, which may be proximal predictors of mood disturbances. Affect dynamics may be one potential pathway through which sleep has implications for health disparities. Support (if any):

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